Influencer Vetting — Engagement, Fake Followers & Brand Safety avatar

Influencer Vetting — Engagement, Fake Followers & Brand Safety

Pricing

from $44.00 / 1,000 creator vetteds

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Influencer Vetting — Engagement, Fake Followers & Brand Safety

Influencer Vetting — Engagement, Fake Followers & Brand Safety

Vet a list of creators before you pay them: real engagement rate, fake-follower risk, niche fit and brand-safety (adverse media) screening — one scored report per creator.

Pricing

from $44.00 / 1,000 creator vetteds

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Developer

Fredrik Hansson

Fredrik Hansson

Maintained by Community

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2

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1

Monthly active users

7 hours ago

Last modified

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Before you pay a creator, know if they're worth it. Feed in a list of creators with their public metrics and get each one scored:

  1. Real engagement rate — likes + comments vs followers, benchmarked per platform.
  2. Fake-follower risk — LOW / MEDIUM / HIGH from engagement quality.
  3. Niche fit — how well they match your brand/niche.
  4. Brand safety — adverse-media and sanctions screening on their name, so you don't partner with someone risky.

One overall score + a clear recommendation per creator.

Influencer Vetting — Engagement, Fake Followers & Brand Safety — input and sample output

Quick start

  1. Fill in the input — set the fields in the input tab (prefilled with a working example).
  2. Click Start — the Actor runs and writes one record per item to the dataset.
  3. Get your data — export to JSON, CSV or Excel, or pull it via the API.

Example input

{
"creators": [
{ "name": "Jane Doe", "handle": "@janedoe", "platform": "instagram", "followers": 120000, "avgLikes": 3400, "avgComments": 120, "bio": "Fitness and wellness coach" }
],
"niche": "sustainable activewear",
"brandSafety": true
}

Pair it with any influencer/profile scraper for the raw followers / avgLikes / avgComments, or paste them in by hand.

Output

One row per creator: overallScore, engagementRate, fakeFollowerRisk, nicheFit, brandSafety, recommendation.

Note

Engagement and fake-follower scoring are heuristics based on the public metrics you provide — a strong signal, not a guarantee. Brand-safety screening is a fast aid, not a full background check.

Actively maintained.